P-mSHEL 요인분석 모델을 이용한 방사선종양학과 방사선 안전사고 위험 요인 평가
Assessment of Radiation Safety Incident Risk Factors in Radiation Oncology Department Using the P-mSHEL Factor Analysis Model
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
Radiation oncology departments are at high risk for potential radiation safety incidents. This study aimed to identify risk factors for these incidents using the P-mSHEL (Patient, Management, Software, Hardware, Environment, and Liveware) model and to evaluate potential accident types through Failure Mode and Effects Analysis (FMEA). FMEA identi- fied seven accident types with high Risk Priority Number (RPN). A total of 56 detailed risk factors were classified using the P-mSHEL model, and measures to prevent radiation safety incidents were implemented. The effect of these preventive measures on workers' safety perception was confirmed through two indicators (FMEA and safety perception). After im- plementing the preventive measures, the FMEA analysis showed that the highest reduction in RPN was for A-6 (radiation exposure while other patients/guardians are present) with a reduction rate of 33.3%, followed by B-3 (radiation exposure while staff are present) with a reduction rate of 33.3%. Overall safety perception significantly improved after the preventive measures (4.17±0.35) compared to before (2.76±0.33) (p<0.05), with notable increases in both employee safety culture (3.93±0.51) and patient safety culture (3.73±0.62) (p<0.05). This study identified risk factors in radiation oncology departments. Continuous management, maintenance, and fostering a strong safety culture are crucial for preventing incidents. Regular problem identification and collaboration with relevant departments are essential for maintaining safety standards.
Abstract
Radiation oncology departments are at high risk for potential radiation safety incidents. This study aimed to identify risk factors for these incidents using the P-mSHEL (Patient, Management, Software, Hardware, Environment, and Liveware) model and to evaluate potential accident types through Failure Mode and Effects Analysis (FMEA). FMEA identi- fied seven accident types with high Risk Priority Number (RPN). A total of 56 detailed risk factors were classified using the P-mSHEL model, and measures to prevent radiation safety incidents were implemented. The effect of these preventive measures on workers' safety perception was confirmed through two indicators (FMEA and safety perception). After im- plementing the preventive measures, the FMEA analysis showed that the highest reduction in RPN was for A-6 (radiation exposure while other patients/guardians are present) with a reduction rate of 33.3%, followed by B-3 (radiation exposure while staff are present) with a reduction rate of 33.3%. Overall safety perception significantly improved after the preventive measures (4.17±0.35) compared to before (2.76±0.33) (p<0.05), with notable increases in both employee safety culture (3.93±0.51) and patient safety culture (3.73±0.62) (p<0.05). This study identified risk factors in radiation oncology departments. Continuous management, maintenance, and fostering a strong safety culture are crucial for preventing incidents. Regular problem identification and collaboration with relevant departments are essential for maintaining safety standards.
참고문헌 (19)
- Jang ES, "A study for advanced radiation therapy", The Journal of Korean Radiation Therapy, 20(2), pp.115~122 (2008)
- Vennart J, "The 1990 recommendations of the International Commission on Radiological Protection", Journal of Radiological Protection, 11(3), pp.199~203 (1991)[DOI]
- Christodouleas JP, "Short-term and long-term health risks of nuclear-power-plant accidents", New England Journal of Medicine, 364(24), pp.2334~2341 (2011)[DOI]
- Kim JH, "Analysis of radiation", radioactivity-related knowledge, perception and behaviors of radiological technologists, 2011, pp.34(2), 123~129
- Han EO, "Analysis of the trend of knowledge, attitude and behavior related to radiation safety management : Focused on radiation workers at medical institutions", Journal of Radiological Science and Technology, 30(4), pp.321~327 (2007)
- Park CH, "Analysis of status of radiation", radioisotopes utilization, 2017, pp.42(1), 1~8
- Park HM, "Development of a portable device based wireless medical radiation monitoring system", Journal of Radiation Protection, 39(3), pp.150~158 (2014)[DOI]
- Kweon DC, "Radiation dose measurement of D-shuttle dosimeter for radiation exposure management system", Journal of the Korean Society of Radiology, 11(5), pp.321~328 (2017)[DOI]
- Lee BI, "Performance analysis of Electronic Personal Dosimeter(EPD)for external radiation dosimetry", Journal of Radiation Protection and Research, 40(4), pp.261~266 (2015)[DOI]
- "Radiation safety management integrated information network"[URL]
- Lee YS, "Development of the process mapping for the radiation safety management", Journal of Radiation Protection and Research, 38(3), pp.149~156 (2013)[DOI]
- Kim CH, "A study on Failure Mode and Effect Analysis(FMEA)for preoperative risk prevention", Journal of Korean Academy of Nursing Administration, 22(5), pp.415~ (2016)[DOI]
- Yang NY, "Analysis of effects of chemotherapy using Failure Mode and Effect Analysis(FMEA)on patient safety and safe nursing", Journal of Korean Academy of Nursing Administration, 21(3), pp.254~ (2015)[DOI]
- An SH, "Analysis of factors behind human error in fatal construction accidents using the m-SHEL model", Journal of the Korea Institute of Building Construction, 22(4), pp.415~423 (2022)[DOI]
- Komatsubara A, "Theories and techniques of safety ergonomics" (2018), Sejinbook
- Kim SH, "A study on the safety perception of university students", master, pp.2018
- "Technical standards for radiation safety management in the medical field"[URL]
- "Prevention of Accidents to Patients Undergoing Radiation Therapy"[URL]
- Park CK, "An analysis of the awareness and performance of radiation workers’radiation", radioactivity protection in medical institutions? : Focused on busan regional medical institutions, 2017, pp.40(1), 101~108
